What columns do you want to filter myDataSet on? What are the corresponding columns in paramsDataSet?
You can easily do what you want using a inner join. For example, if tempview and paramsview both have a column, say employeeID. You can do this with the SQl sparkSession.sql("Select * from tempview inner join paramsview on tempview.employeeId = paramsview.employeeId") On 5/1/18, 12:03 AM, "lsn24" <lekshmi.s...@gmail.com> wrote: Hi, I have one dataset with parameters and another with data that needs to apply/ filter based on the first dataset (Parameter dataset). *Scenario is as follows:* For each row in parameter dataset, I need to apply the parameter row to the second dataset.I will end up having multiple dataset. for each second dataset i need to run a bunch of calculation. How can I achieve this in spark? *Pseudo code for better understanding:* Dataset<Parameter> paramsDataset = sparkSession.sql("select * from paramsview"); Dataset<myData> myDataset = sparkSession.sql("select * from tempview"); Question: For each row in paramsDataset, I need to filter myDataset and run some calculations on it. Is it possible to do that ? if not whats the best way to solve it? Thanks -- Sent from: https://urldefense.proofpoint.com/v2/url?u=http-3A__apache-2Dspark-2Duser-2Dlist.1001560.n3.nabble.com_&d=DwICAg&c=pLULRYW__RtkwsQUPxJVDGboCTdgji3AcHNJU0BpTJE&r=F2RNeGILvLdBxn7RJ4effes_QFIiEsoVM2rPi9qX1DKow5HQSjq0_WhIW109SXQ4&m=2DBXMR9Vazi5EAA7gtp78AhvgGj1xwkacIgDWUOOOS4&s=baasFvkvrjKfQoZTws7KEWp24oBkrLJWvUz1gV5UjFQ&e= --------------------------------------------------------------------- To unsubscribe e-mail: user-unsubscr...@spark.apache.org ________________________________________________________ The information contained in this e-mail is confidential and/or proprietary to Capital One and/or its affiliates and may only be used solely in performance of work or services for Capital One. The information transmitted herewith is intended only for use by the individual or entity to which it is addressed. If the reader of this message is not the intended recipient, you are hereby notified that any review, retransmission, dissemination, distribution, copying or other use of, or taking of any action in reliance upon this information is strictly prohibited. If you have received this communication in error, please contact the sender and delete the material from your computer. --------------------------------------------------------------------- To unsubscribe e-mail: user-unsubscr...@spark.apache.org